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28 Apr 2016

Part-Time Data Services Adjunct Librarian: Adjunct Quantitative Data Analysis Specialist

New York University, Division of Libraries – Posted by [email protected] –  Anywhere

Job Description

New York University’s (NYU) Data Services, a joint NYU IT and NYU Libraries service, is seeking a part-time (20-25 hours per week) Quantitative Data Services Specialist to provide quantitative research computing support to faculty, students, and staff at NYU.

 

Duties Include:

Providing consultation on a walk-in and appointment basis, leading Data Services instructional tutorials, and preparing Data Services training documentation, with a primary focus on statistical software packages such as Stata, R, MATLAB, SAS, and SPSS. Providing statistical programming support to academic researchers.  Coordinating with other consultants in Data Services to provide support to academic researchers. Initiating and contributing to Data Services projects.

Required Education: Master’s degree or equivalent in one of the following fields: statistics, sociology, psychology, political science, library science, mathematics, economics or another field where in-depth knowledge of quantitative methods and tools is required.

Preferred Education: Advanced degree in statistics, psychology, political science, or equivalent quantitatively rigorous field.

Required Experience:

  • 1-3 years relevant experience or an equivalent combination
  • 1-3 years of experience conducting quantitative academic research with Stata, SAS, or SPSS supplemented by expertise in R or MATLAB.
  • Proficiency of commonly used statistical and data-oriented methods, including: data cleaning, t-tests, ANOVA, linear regression and generalized linear models.
  • Excellent public service, communication, organizational and interpersonal skills.

Preferred Experience:

  • Experience teaching quantitative software packages and/or research methods
  • Experience in an academic environment, preferably in IT and/or Libraries
  • Familiarity with a variety of statistical methods, such as: factor analysis, panel data analysis, categorical data analysis, nonparametric techniques, multi-level modeling, structural equation modeling and classification methods
  • Knowledge of computer science concepts including data structures and algorithms; experience programming with a high-level language like Python
  • Ability to edit HTML/CSS and Javascript
  • Basic understanding of geographic information systems (GIS), qualitative data analysis and survey research methods
  • Experience submitting batch jobs on high performance computing systems

About New York University Libraries:  Library facilities at New York University serve the school’s 40,000 students and faculty and contain more than 4 million volumes.  New York University is a member of the Association of Research Libraries, the Research Libraries Group, the Digital Library Federation; serves as the administrative headquarters of the Research Library Association of South Manhattan, a consortium that includes three academic institutions.

How to Apply

To Apply:  To ensure consideration, send CV and letter of application, including the name, address, and telephone number of three references to: Enrique Yanez, Assistant Dean for Human Resources, New York University Libraries, 70 Washington Square South, New York, NY 10012 or via email to [email protected]. CVs will be considered until the position is filled. NYU's Division of Libraries embraces diversity and is committed to attracting qualified candidates who also embrace and value diversity and inclusivity. NYU is an Equal Opportunity/Affirmative Action/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer.  

Job Categories: Data Scientist / Statistician. Job Types: Part-Time.

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